ARCON96模型计算行为研究及其与高斯模型在大气弥散因子估计中的比较

Computation Behavior of ARCON96 Model and Comparison of ARCON96 and Gaussian Model in Atmosphere Relative Concentration Estimation

  • 摘要: ARCON96模型是NRC推荐用于核电站主控室可居留性评价的大气弥散因子计算模型。相比于以往的模型,ARCON96模型根据场地实验修正了近距离和静风条件下的扩散参数,使其估计结果更符合实际。本工作研究了ARCON96模型在大气弥散因子估计中的计算行为,并与经典高斯模型进行了比较。随着距离的增加,ARCON96模型估计的大气弥散因子与风速的函数关系逐渐由钟形曲线过渡到近似高斯模型的曲线。同时,随着距离的增加,大气弥散因子最大值所对应的气象条件也逐渐由非静风转变为静风。在各个距离下,ARCON96模型所估算大气弥散因子均小于高斯模型。

     

    Abstract: ARCON96 model is the latest NRC recommended model for design basis of control room habitability assessments at nuclear power plants, which was developed with the improvement in atmosphere relative concentration estimation for calm wind and short distance. The computation behavior of ARCON96 model was studied and was compared with Gaussian model in this paper. The ARCON96 model estimated atmosphere relative concentration is a function of both the wind speed and distance. For short distances, the relationship between atmosphere relative concentration and wind speed can be described approximately using a bell-shaped curve. As the distance increases, the bell-shaped curve gradually degenerates into an exponential decay curve. Meanwhile, the meteorological condition that corresponds to the maximum atmosphere relative concentration changes from non-calm wind to calm wind. At all distances, the atmosphere concentration estimated by ARCON96 model is smaller than that of Gaussian model.

     

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